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Anishkumar Mahalingam Iyer
Intern Software Engineer specializing in AI/ML infrastructure and applied machine learning
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About
Interned at Rivian where they built and deployed a production Whisper-based ASR + LLM real-time event labeling pipeline to help autonomous-vehicle engineers diagnose failures and route issues to triage teams. Also built a stateful multi-agent "Code Partner" developer assistant using LangGraph/LangChain (planner/router/coder/critique/tester) with evaluation, adversarial testing, and stakeholder-friendly communication practices.
Experience
Education
Key Strengths
- Deployed production ASR + LLM event labeling system for autonomous stack triage at Rivian
- Handled noisy audio data via preprocessing (standardization, silence trimming, speech isolation)
- Improved domain performance using curated glossary and few-shot examples
- Implemented human-in-the-loop review and evaluation on a defined evaluation set
- Built stateful multi-agent developer assistant using LangGraph/LangChain with 5+ agents and artifact/state propagation
- Structured approach to agent reliability: clear goals/roles, golden scenarios, adversarial testing, measurable success metrics (e.g., code pass rate)
- Effective collaboration with non-technical stakeholders by shadowing workflows and communicating via outcome-focused demos/examples
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